DYNAMIC UPDATING METHOD OF GEOSPATIAL DATABASE WITH INCREMENTAL DATA

作者
Zehui Zhai,J. W. Liu,J. J. Liu,W. H. Zhao,Y. Gao,Jiaxing Che
出处
期刊:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences [Copernicus Publications]
卷期号:XLIII-B3-2022: 735-741 被引量:2
标识
DOI:10.5194/isprs-archives-xliii-b3-2022-735-2022
摘要

Abstract. With the rapid development of computer technology and Geographic Information System (GIS), geospatial data are commonly stored and managed in the geospatial database. And geospatial data are widely used in government decision-making, environmental protection, scientific research, and national defence construction. The frequency of geospatial database updating is getting higher and higher due to economic and social development. In this paper, dynamic updating method of geospatial database with the incremental data is proposed, which means only changed features are updated into the geospatial database. Features that have not changed are not updated. This method can greatly improve the efficiency of database update. It has been applied into dynamic updating of national fundamental geographic information database of China. This database has been updated and published once a year. The current situation of data is improved continuously. It can provide more reliable data guarantee for national economic construction and social development. In the future, there will be further optimization of the dynamic updating method. We also hope more and more geospatial database can be updated by this method.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
研友_VZG7GZ应助钟晨旭采纳,获得10
刚刚
酷波er应助sheen采纳,获得10
1秒前
3秒前
xiaomaihua完成签到 ,获得积分10
4秒前
chloe完成签到,获得积分10
4秒前
4秒前
九七发布了新的文献求助10
5秒前
6秒前
克拉发布了新的文献求助10
6秒前
7秒前
8秒前
原子超人发布了新的文献求助10
8秒前
BZPL发布了新的文献求助50
8秒前
111完成签到,获得积分20
9秒前
akko发布了新的文献求助10
11秒前
zxh完成签到 ,获得积分10
11秒前
12秒前
脑洞疼应助duai采纳,获得10
13秒前
13秒前
俊秀的太阳完成签到,获得积分20
13秒前
钟晨旭发布了新的文献求助10
14秒前
yxrose完成签到,获得积分10
14秒前
张欢馨应助肥猫采纳,获得10
14秒前
15秒前
华仔应助开放的忆霜采纳,获得30
15秒前
刀锋战士完成签到,获得积分10
15秒前
15秒前
陶醉小笼包完成签到 ,获得积分10
16秒前
阿达发布了新的文献求助10
16秒前
上上签发布了新的文献求助10
16秒前
17秒前
kevin发布了新的文献求助10
18秒前
石头巧克力完成签到,获得积分10
18秒前
18秒前
可言完成签到,获得积分10
19秒前
zjc发布了新的文献求助10
19秒前
19秒前
深情安青应助Xu采纳,获得10
19秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7617360
求助须知:如何正确求助?哪些是违规求助? 9192687
关于积分的说明 19700949
捐赠科研通 7189614
什么是DOI,文献DOI怎么找? 3271994
关于科研通互助平台的介绍 2434795
邀请新用户注册赠送积分活动 2267100